import numpy as np

llf = np.array([-239.91961140777])

nobs = np.array([             202])

k = np.array([               5])

k_exog = np.array([               1])

sigma = np.array([ .79249918716869])

chi2 = np.array([ 907.36856676748])

df_model = np.array([               3])

k_ar = np.array([               2])

k_ma = np.array([               1])

params = np.array([ .86132870569126, 
                    1.1429974468925, 
                   -.16912378249242, 
                   -.87400688606796, 
                    .79249918716869])

cov_params = np.array([ .22693223682292, 
                       -.00989623843683, 
                       -.00092349277863, 
                        .00706357033712, 
                       -.00195332705416, 
                       -.00989623843683, 
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                       -.00092349277863, 
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                        .00252946620109, 
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                        .00024079697522, 
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                       -.00748374882497, 
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                        .00812286034649, 
                        8.202907726e-06, 
                       -.00195332705416, 
                       -.00006513770699, 
                        .00024079697522, 
                        8.202907726e-06, 
                        .00031052148013]).reshape(5,5)

xb = np.array([ .86132872104645, 
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                1.0508332252502])

y = np.array([np.nan, 
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resid = np.array([np.nan, 
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yr = np.array([np.nan, 
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                -.2172684520483, 
                .93211495876312, 
               -.42470565438271, 
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                 .7107213139534, 
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                -4.016538143158, 
               -5.5007371902466, 
                .76500922441483, 
                 1.078607916832, 
                .86516714096069])

mse = np.array([ .80370712280273, 
                 .80370712280273, 
                 .67928272485733, 
                 .66423606872559, 
                 .65418779850006, 
                 .64722007513046, 
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                  .6326048374176, 
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                 .62811434268951, 
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                 .62808960676193, 
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                 .62806183099747, 
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                 .62805509567261, 
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stdp = np.array([ .86132872104645, 
                  .86132872104645, 
                  .58931648731232, 
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                  .43893754482269, 
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                  .65266174077988, 
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                  .87710189819336, 
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                   1.049503326416, 
                  1.0058189630508, 
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                  1.0849515199661, 
                  .96609032154083, 
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                  .99680209159851, 
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                  1.0725424289703, 
                   .8914600610733, 
                  .85157895088196, 
                  .97811859846115, 
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                  .88130152225494, 
                  .81193578243256, 
                  .82894796133041, 
                   .9344978928566, 
                  .85150623321533, 
                  1.0080153942108, 
                   .9895287156105, 
                  1.1147927045822, 
                  1.2104271650314, 
                  1.0987895727158, 
                    1.23719227314, 
                  1.0314946174622, 
                  1.0577303171158, 
                   .8316445350647, 
                  .74243623018265, 
                  1.0848734378815, 
                  .88838368654251, 
                  1.0033586025238, 
                  1.0730868577957, 
                  .88500571250916, 
                  .82902699708939, 
                  .98530465364456, 
                   1.057307600975, 
                  1.0057097673416, 
                  1.1727533340454, 
                  1.2172684669495, 
                  1.0678850412369, 
                  1.3246995210648, 
                  1.0841422080994, 
                  2.0282983779907, 
                  1.0879902839661, 
                   1.289278626442, 
                  1.4674614667892, 
                  .75163400173187, 
                  1.2650294303894, 
                  1.4760826826096, 
                  1.2972749471664, 
                  1.3993507623672, 
                  1.8463147878647, 
                  1.4716247320175, 
                  2.2955448627472, 
                   .7857254743576, 
                 -.26799991726875, 
                  .71938097476959, 
                  1.0508332252502])

icstats = np.array([             202, 
                    np.nan, 
                    -239.91961140777, 
                                   5, 
                     489.83922281554, 
                     506.38056130255])

class Bunch(dict):
    def __init__(self, **kw):
        dict.__init__(self, kw)
        self.__dict__  = self


results = Bunch(llf=llf, nobs=nobs, k=k, k_exog=k_exog, sigma=sigma, chi2=chi2, df_model=df_model, k_ar=k_ar, k_ma=k_ma, params=params, cov_params=cov_params, xb=xb, y=y, resid=resid, yr=yr, mse=mse, stdp=stdp, icstats=icstats, )

